Adaptive image interpolation based on local gradient features

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dc.contributor.authorHwang, JWko
dc.contributor.authorLee, Hwang Sooko
dc.date.accessioned2013-03-04T23:43:16Z-
dc.date.available2013-03-04T23:43:16Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2004-03-
dc.identifier.citationIEEE SIGNAL PROCESSING LETTERS, v.11, no.3, pp.359 - 362-
dc.identifier.issn1070-9908-
dc.identifier.urihttp://hdl.handle.net/10203/84680-
dc.description.abstractThis letter presents two adaptive interpolation methods based on applying an inverse gradient to conventional bilinear and bicubic interpolation. In simulations, the proposed methods exhibited a better performance than conventional bilinear and bicubic methods; particularly in the edge regions. In addition, the proposed methods can be used irrespective of the magnification factor (MF) and easily implemented due to their simple structure.-
dc.languageEnglish-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.titleAdaptive image interpolation based on local gradient features-
dc.typeArticle-
dc.identifier.wosid000189125400017-
dc.identifier.scopusid2-s2.0-1642404566-
dc.type.rimsART-
dc.citation.volume11-
dc.citation.issue3-
dc.citation.beginningpage359-
dc.citation.endingpage362-
dc.citation.publicationnameIEEE SIGNAL PROCESSING LETTERS-
dc.identifier.doi10.1109/LSP.2003.821718-
dc.contributor.localauthorLee, Hwang Soo-
dc.contributor.nonIdAuthorHwang, JW-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorimage interpolation-
dc.subject.keywordAuthorimage reconstruction-
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